introduction: knowledge is a critical resource for organizations working in dynamically competitive environments. in any organization, leaders who have the power to incite and influence knowledge management processes. nevertheless, there is lack of empirical evidence from previous studies on examining this relationship. in view of this, the current study examined the relationship between transf...

In recent decade, the new advanced nanofluids, composed from various particles, have attracted the attention of researchers. This class of nanofluids, which can be prepared by suspending several types (two or more than two) of nanoparticles in base fluid, is termed as hybrid nanofluids. In this work, an experimental investigation on the effects of temperature and concentration of nanoparticles ...

In this study the thermal conductivity and the volumetric heat capacity of non-Newtonian fluids are investigated. These fluids find many applications in chemical, medical and food industries. They mostly have viscoelastic behavior and generally differ from Newtonian fluids. Two non-Newtonian fluids, solutions of xanthan and carboxy methyl cellulose in water with various concentrations have bee...

Drop size distribution in a mixer-settler is an essential design parameter, as obtaining drop size distribution will result in optimum performance of equipment. In this paper for obtaining drop size, several experiments have been performed with a single stage horizontal mixer-settler. A video technique has been used in order to measure the drop size in the mixer-settler with the help of a digit...

Objectives Information technology involves a risk of privacy violation in providing easy access to confidential information,such as personal information and medical information through the Internet. In this study, we investigated medical information security to gain a better understanding of trends in research related to medical information security. Methods We researched papers published on ...

Data warehouses (DWs) can become inconsistent when some dimensional constraints are not satisfied by the dimension instances. In this paper, we present preliminary results about the effects of the violation of partitioning constraints in homogeneous dimension instances over aggregation queries, and in particular over the summarizability property (SUMM) of the DWs. We are interested in finding w...

We consider the classical statistical learning/regression problem, when the value of a real random variable Y is to be predicted based on the observation of another random variableX . Given a class of functions F and a sample of independent copies of (X,Y ), one needs to choose a function f̂ from F such that f̂(X) approximates Y as well as possible, in the mean-squared sense. We introduce a new p...